Our Mission
To extract and summarize relevant information from video feeds.
"Data generated by new surveillance cameras to increase exponentially in the coming years"
According to www.securityinfowatch.com video surveillance, data has grown to over 2,500 petabytes as of 2019.
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The primary drives for this increase are:
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Higher video quality
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Growth of the internet of things (IOT)
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Increase desire for security and surveillance
Today, less than 1% of all surveillance video is monitored worldwide, even less when considering home surveillance systems.
The Argos System
The Argos System is a software product that utilizes computer vision-based machine learning techniques to identify and extract relevant segments from surveillance video feeds. Argos then uses natural language processing to auto-caption the video segments into a succinct journal of events.
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Using The Argos System saves peoples time by not having to watch hours of video or sort through countless notifications to find out what happened in their videos.
Meet Team Argos
Andreas Lemos
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Sr. Modeler​
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Product Manager​
Andrew Kiruluta
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NLP Auto Caption Lead
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Chief Data Scientist
Chris Donaton
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Edge Device Lead
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Project Manger
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Video SME
Eric Lundy
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Cloud Infrastructure Lead
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Web Developer